Daisuke Matsuoka

Guest Professor

Yokohama National University

Japan

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About

Daisuke Matsuoka is a Guest Professor at Yokohama National University in Japan. His research primarily focuses on deep learning applications in environmental monitoring, including ocean bathymetric mapping and beach litter segmentation. Recent articles highlight his work on adaptive super-resolution techniques and datasets for tropical cyclone simulation. He is also exploring the intersection of machine learning with atmospheric simulation data to enhance detection performance in meteorological studies.

Articles (11)

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2025

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2020

Collaborators (1)

Shin'ichiro Kako

Kagoshima University

JAPAN

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Daisuke Matsuoka

Research Interests

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Articles (11)

Adaptive Super‐Resolution for Ocean Bathymetric Maps Using a Deep Neural Network and Data Augmentation

BePLi Dataset v1: Beach Plastic Litter Dataset version 1 for instance segmentation of beach plastic litter

Tropical cyclone dataset for a high-resolution global nonhydrostatic atmospheric simulation

Neural style transfer between observed and simulated cloud images to improve the detection performance of tropical cyclone precursors

Pixel-level image classification for detecting beach litter using a deep learning approach

The BeachLitter dataset for image segmentation of beach litter

Super-Resolution and Feature Extraction for Ocean Bathymetric Maps Using Sparse Coding

An evaluation of fluidics for tsunamis in pedestrian’s flood evacuations

Can machine learning models trained using atmospheric simulation data be applied to observation data?

Classification of imbalanced cloud image data using deep neural networks: performance improvement through a data science competition

Development of a system for efficient content-based retrieval to analyze large volumes of climate data

Collaborators (1)

Shin'ichiro Kako

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